ABSTRACT
Lack of availability of goods and/or the improper positioning of products on the shelves of a retail store can result in loss of sales to a retailer. Visual audits are undertaken by the retailer's staff and the staff of the FMCG product companies, (whose products are stocked in the retail shelves), to discover out-of-stock and misplaced products in a retailer's shelf. In this paper, a method of automating the process of manual inspection has been described. The paper also demonstrates that by applying image processing techniques (available in MATLAB 2013a), it is possible to identify and count the front-facing products, as well as detect void spaces on the shelf. Images from a video stream (such as from a security camera) can also be analyzed to count the number of facings of a specific product on a shelf and identify if they are placed face-up, as should be the case. The image processing approach proposed in the paper will primarily enable proper positioning of products on the shelf the front row. While that may seem as a limitation for inventory counting, it is actually an important parameter for product manufacturers who usually rent shelf space and positions at a premium and mandate the retailers to place specific products at specific shelves.
The incremental change that the paper proposes is to extend the use of feature extraction in image processing to highlight incorrect placement and positioning of items on the shelves. The implemented solution does not require significant additional infrastructure costs.
- Joachim C.F. Ehrenthal. A Service-Dominant Logic View of Retail On-Shelf Availability. Ph.D. dissertation, University of St.Gallen, St.Gallen, Switzerland, 2012.Google Scholar
- Kristie Jean Spielmaker. On-Shelf Availability in Retailing: A Literature Review and Conceptual Model, Honours thesis, University of Arkansas, Fayettevilee, Arkansas, 2012.Google Scholar
- Anne-Sophie B., Gilles L. and Sandrine M.. Assessing the Frequency and Causes of Out-of-Stock Events Through Store Scanner Data, Cahier de recherche du Groupe HEC, 2006.Google Scholar
- C. C. Chao, J. M. Yang and W. Y. Jen. Determining Technology Trends and Forecasts of RFID by Historical Review and Bibliometric Analysis from 1991 to 2005, Technovation, Vol. 27, No. 5, 2007, pp. 268--279.Google ScholarCross Ref
- David C. Wyld. 24-KARAT PROTECTION: RFID and RETAIL JEWELRY MARKETING, International Journal of UbiComp (IJU), Vol 1, Num 1, January 2010.Google Scholar
- Jennifer Zaino. A Guide to RFID Apparel Retail Solutions, RFID Journal, 2011.Google Scholar
- Michael K, & McCathie, L. The pros and cons of RFID in supply chain management, Proceedings of the International Conference on Mobile Business, 11-13 July 2005, 623--629.Copyright IEEE 2005. Google ScholarDigital Library
- Apparel Labeling: The Evolution of a Revolution, {White paper} Checkpoint.Google Scholar
- Somaraju Boda. Feature-Based Image Registration, M.Tech thesis, National Institue of Technology, Rourkela, 2009.Google Scholar
- Bhosale Swapnali B, Kayastha Vijay S and Harpale Varsha. K. FEATURE EXTRACTION USING SURF ALGORITHM FOR OBJECT RECOGNITION. International Journal of Technical Research and Applications, Volume 2, Issue 4 (July-Aug 2014), PP. 197--199.Google Scholar
- Jared Heinly, Enrique Dunn, and Jan-Michael Frahm. Comparative Evaluation of Binary Features. The University of North Carolina at Chapel Hill.Google Scholar
- Zuojin Li, Liukui Chen, Jun Peng and Lei Song. An Approach to Interesting Objects Detection in Low Quality Image Sequences for Fisheries Management. WSEAS Transactions on Signal Processing.Google Scholar
- Rahul Moorthy, Swikriti Behera and Saurav Verma. On-Shelf Availability in Retailing. International Journal of Computer Applications (0975-8887) Volume 116 -- No. 23, April 2015, PP. 47--51.Google Scholar
- Andrew Mitchell. Improving On-Shelf Availability, {White paper} SymphonyIRIGroup, 2012Google Scholar
- Gerhard H. Approaches to measuring on-shelf availability at the point of sale, {White paper} Roland Berger Strategy Consultants and ECR Europe, 2006.Google Scholar
- Vijay Kaulgud, Srikanth Prahlad and Rakesh Satapathy. Smart Shelfie - Internet of Shelves. IEEE TENSYMP Conference, May 2015.Google Scholar
Index Terms
- Applying Image Processing for Detecting On-Shelf Availability and Product Positioning in Retail Stores
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